Finches helps corporates make crop supply more predictable in an increasingly volatile world. We fuse internal company data with external climate, satellite, and market signals to deliver early risk alerts, actionable insights, and enterprise-ready KPIs for agronomy, procurement, and finance teams.

Finches is built for companies that rely on agricultural raw materials at scale — especially food & beverage, baby food, textiles, and other processors exposed to climate, quality, and availability risks.

Most teams operate with fragmented data, unreliable forecasts, and risk signals that arrive too late. Finches addresses:

- Lack of early visibility into crop, climate, and supplier risks
- Manual, slow agronomy and procurement workflows
- Poor field-to-factory transparency
- Reactive firefighting instead of proactive planning

Finches provides a mobile and desktop solution for agronomists to:

- Document farm visits digitally (even offline)
- Capture photos, notes, and observations in one place
- Identify short-, medium-, and long-term crop risks
- Prioritize farm visits based on risk profiles
- Detect patterns across lab results, weather, and field data

This shifts agronomy time toward the farms that matter most.

Finches translates agronomy and external data into procurement-ready intelligence:

- Early alerts on forming supply, quality, and climate risks
- Risk scores, availability KPIs, and quality indices
- Regional and supplier benchmarking
- Contract health tracking to prevent breaches
- Executive-ready reporting for budgeting and strategy

Finches combines:
Internal data
- Agronomy field visit data
- Lab results (soil, crop, quality)
- ERP and sourcing history
- Harvest quantity and quality data
External data
- Weather forecasts and history
- Satellite data (e.g. plant health indicators)
- Pest and disease monitoring
- Newsfeeds and regulatory signals

All data is cleaned, contextualized, and modeled to generate actionable insights.

Finches doesn’t just aggregate dashboards. Our “secret sauce” is pattern detection across internal and external data – producing highly individualized risk alerts mapped to each customer’s sourcing processes. This allows teams to see correlations others miss and act earlier.

Yes. Finches uses advanced analytics and AI to detect patterns, correlations, and emerging risks across large, fragmented datasets – turning raw signals into concrete actions and KPIs.

Finches works closely with customers in a co-creation approach:
1) Understand your sourcing challenges and use cases
2) Define requirements and align on priority workflows
3) Test prototypes and iterate together

This ensures a scalable product tailored to real operational needs.

Customers can see value quickly through:

- Early risk alerts
- Consolidated visibility across farms and regions
- Faster assessments compared to manual workflows

Deeper predictive insights improve as more historical and real-time data is connected.

Finches has an MVP ready, with prototypes in progress for advanced agronomy and procurement workflows. We work with early partners to refine and scale the platform.

By detecting risks earlier, reducing emergency sourcing, and improving supplier collaboration, Finches helps:
- Reduce volatility exposure
- Increase raw material availability meeting quality standards
- Strengthen supplier trust and transparency
- Support ESG-aligned sourcing decisions

Darwin’s finches (yes, the birds) showed that survival depends on detecting change early and adapting faster than others.

Finches applies this principle to crop procurement: we identify early signals in climate, crops, and supply networks and turn them into actions – before shortages, quality issues, or price shocks occur.

Finches was founded by:

Dr. Stefanie Glenn (CTO): AI and data expert with experience at Palantir, BMW, and Google

Catharina van Delden (CEO): serial SaaS founder and farmer who experienced climate volatility firsthand

The team combines deep AI expertise with real-world agricultural and procurement experience.

Finches was founded after Catharina experienced severe drought on her family farm La Baguala in Uruguay in 2021–2022.

Yields dropped, quality became unpredictable, and decisions had to be made with too little information – while downstream buyers expected certainty. It became clear that the real problem wasn’t farming itself, but the lack of early, usable data connecting fields to procurement decisions.

Finches was created to close that gap: turning field-level reality into actionable intelligence for companies that depend on crops at scale.